shivammishra0025
/

cpp_finetuned_starcoder

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4-bit precision

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finetune_starcoder2

This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
train_batch_size: 1
eval_batch_size: 8
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.8.2
Transformers 4.40.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

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Safetensors

Model size

1.64B params

Tensor type

F32

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FP16

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U8

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Inference API

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Model tree for shivammishra0025/cpp_finetuned_starcoder

Base model

bigcode/starcoder2-3b

Adapter

(85)

this model

Evaluation results

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